Is the mcp-jenkins-intelligence MCP server actively maintained?

The mcp-jenkins-intelligence MCP server was last committed 11mo ago and has 0 contributors. Issue health: 50% of issues resolved. AgentRank freshness score reflects real-time maintenance activity.

mcp-jenkins-intelligence MCP Server

Name: heniv96/mcp-jenkins-intelligence
Rating: 2.2 (1 reviews)
Author: heniv96

heniv96/mcp-jenkins-intelligence

Score: 30.7 Rank #9730 MCP Server

Are you the maintainer of heniv96/mcp-jenkins-intelligence? Claim this listing →

AI-powered Jenkins pipeline intelligence platform with natural language interface. Provides comprehensive pipeline analysis, failure prediction, optimization suggestions, and automated Jenkinsfile reconstruction using Model Context Protocol (MCP) integration.

Add AgentRank to Claude Code Discover and compare tools like heniv96/mcp-jenkins-intelligence — your AI finds the right one automatically

Get API Access →

claude mcp add agentrank -- npx -y agentrank-mcp-server

Overview

heniv96/mcp-jenkins-intelligence is a Python MCP server licensed under MIT. AI-powered Jenkins pipeline intelligence platform with natural language interface. Provides comprehensive pipeline analysis, failure prediction, optimization suggestions, and automated Jenkinsfile reconstruction using Model Context Protocol (MCP) integration.

Ranked #9730 out of 25022 indexed tools.

Ecosystem

Python MIT

Score Breakdown

Stars 15% 2

2 stars → early stage

Freshness 25% 11mo ago

Last commit 11mo ago → stale

Issue Health 25% 50%

No issues filed → no history to score

Contributors 10% 0

0 contributors → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A

PyPI Downloads N/A

Forks 0

Description Detailed

License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Freshness high impact

Last commit was 336 days ago — a recent commit would boost your freshness score

Contributors medium impact

Single-contributor projects carry bus-factor risk — welcoming contributors boosts confidence

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

Badge all embed codes →

Markdown

[![AgentRank](https://agentrank-ai.com/api/badge/tool/heniv96--mcp-jenkins-intelligence)](https://agentrank-ai.com/tool/heniv96--mcp-jenkins-intelligence/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge)

HTML

<a href="https://agentrank-ai.com/tool/heniv96--mcp-jenkins-intelligence/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/badge/tool/heniv96--mcp-jenkins-intelligence" alt="AgentRank"></a>

Embed Widget docs →

HTML

<script src="https://agentrank-ai.com/embed.js" data-tool="heniv96/mcp-jenkins-intelligence"></script>

Details

Stars: 2
Forks: 0
Open Issues: 0
Closed Issues: 0
Contributors: 0
Dependents: —
Language: Python
License: MIT
Last Commit: 11mo ago

Matched Queries

"model context protocol""model-context-protocol"

See alternatives to heniv96/mcp-jenkins-intelligence → Browse mcp-server category → Compare heniv96/mcp-jenkins-intelligence → How to Build an MCP Server in 2026 →MCP Server Comparison: Top 10 Head-to-Head →

View on GitHub →